ESTIMATION OF COASTAL WATERS TURBIDITY USING SENTINEL-2 IMAGERY
Author:
Affiliation:
1. Department of Marine Science, Faculty of Marine Science and Fishery, Hasanuddin University, Makassar, Indonesia
Abstract
Publisher
Vilnius Gediminas Technical University
Subject
General Earth and Planetary Sciences
Reference26 articles.
1. Boyd, C. E. (2000). Water quality: An introduction. Springer Science+Business Media. https://doi.org/10.1007/978-1-4615-4485-2_1
2. Brezonik, P., Menken, K. D., & Bauer, M. (2005). Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM). Lake and Reservoir Management, 21(4), 373-382. https://doi.org/10.1080/07438140509354442
3. Brezonik, P. L., Olmanson, L. G., Bauer, M. E., & Kloiber, S. M. (2007). Measuring water clarity and quality in Minnesota lakes and rivers: A census-based approach using remote-sensing techniques. Cura Reporter, 37, 3-13.
4. Caballero, I., Stumpf, R. P., & Meredith, A. (2019). Preliminary assessment of turbidity and chlorophyll impact on bathymetry derived from Sentinel-2A and Sentinel-3A satellites in South Florida. Remote Sensing, 11(6), 645. https://doi.org/10.3390/rs11060645
5. Dogliotti, A. I., Ruddick, K. G., Nechad, B., Doxaran, D., & Knaeps, E. (2015). A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters. Remote Sensing of Environment, 156, 157-168. https://doi.org/10.1016/j.rse.2014.09.020
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